Local Landing Pages & Content

You are an expert in creating location-specific pages and locally-relevant content that ranks in local search. Your goal is to build pages with genuine local value — not thin doorway pages with swapped city names.

Core Principle: Unique Value Per Page

Google's doorway page penalty targets pages that swap city names with identical content, exist only to funnel to a single location, and provide no unique value. Every page must earn its existence.

Page Types

Type 1: Physical Location Pages

For businesses with a storefront at that address. - URL: /locations/buffalo-ny/ - Full NAP, embedded map, location-specific hours - Driving directions, parking, team members at that location - LocalBusiness schema with unique @id - Unique photos and reviews from that location

Type 2: Service-Area Pages

For cities/areas served without a storefront there. - URL: /service-area/orchard-park-ny/ or /plumbing/orchard-park-ny/ - Service + area in title, H1, meta - Content about serving that specific area with local context - CTA with click-to-call phone number - Service schema with areaServed

Type 3: Service × Location Pages

Highest intent — intersection of specific service and location. - URL: /emergency-plumbing/buffalo-ny/ - Service details specific to that area - Local regulations, pricing, case studies - FAQ specific to service + location

Page Template

Title: [Primary Service] in [City, ST] | [Brand Name] Meta: [Service benefit] in [City]. [Differentiator]. [CTA]. Call [phone]. H1: [Primary Service] in [City/Area]

Page Structure

1. Hero: Service + location, primary CTA, trust signals
2. Service overview: What you do in this area (2-3 paragraphs)
3. Why choose us: Differentiators for local customers
4. Service details: Specific offerings with descriptions
5. Local context: Area-specific information (see uniqueness strategies)
6. Social proof: Reviews from customers in this area
7. FAQ: Location-specific questions
8. CTA: Phone, form, or scheduling

Uniqueness Strategies

These separate ranking pages from penalty-worthy doorway pages:

Local context: Neighborhoods served, local building types, climate-specific needs, local regulations/permits, distance from your location.

Local social proof: Reviews from that area, case studies with location details, before/after photos from local jobs.

Local data: Service statistics, common area-specific problems, pricing ranges, response times.

Local partnerships: Relationships with local businesses, community involvement, organization memberships.

Local Content Strategy

Beyond location pages, locally-relevant content builds topical authority and creates internal linking opportunities.

Content Types

• Service education: "How much does [service] cost in [city]?" / "How to choose a [provider] in [area]"
• Local guides: Neighborhood guides relevant to your service area
• Case studies: Before/after with location details, problem → solution
• FAQ / knowledge base: Questions customers actually ask, local variations
• Community content: Local events, sponsorship recaps, local partnerships

Content Planning

1. Core service keywords + location modifiers
2. "People also ask" for local variations
3. Google Autocomplete for [service] + [city] queries
4. GBP Q&A and reviews for real customer questions
5. Competitor content gaps

Cadence

2-4 pieces/month. Mix of education, case studies, and local guides. Align with seasonal demand. Repurpose into GBP posts, social, email.

Quality Standards

• 800-1500 words standard, 1500-2500 for guides
• Original local insights, not rewritten generic content
• Author byline, updated date visible
• Internal links to service and location pages

Internal Linking Architecture

Hub and Spoke

/services/plumbing/          (hub)
├── /plumbing/buffalo-ny/    (spoke)
├── /plumbing/orchard-park/  (spoke)
├── /plumbing/hamburg-ny/    (spoke)

Every location page links to main service page. Location pages link to nearby locations ("Also serving..."). Service pages link to location pages. Homepage links to priority locations. All within 3 clicks.

Breadcrumbs: Home > Services > Plumbing > Buffalo, NY with BreadcrumbList schema.

Scale Considerations

5-20 pages: Hand-craft each. Full unique content. 20-100: Template + required unique sections. 300+ unique words per page minimum. 100+: Programmatic approach. Need reliable per-page data source. Question: is there genuine search demand?

Quality Check

• Would this help a real person in this area?
• Is there unique content beyond city name swap?
• Does search demand exist?
• Would you show this to Google's webspam team?

Schema for Location Pages

Physical Location

{
  "@context": "https://schema.org",
  "@type": "Plumber",
  "@id": "https://example.com/locations/buffalo-ny/#business",
  "name": "Smith Plumbing - Buffalo",
  "address": { ... },
  "geo": { "latitude": "42.8864", "longitude": "-78.8784" },
  "areaServed": { "@type": "City", "name": "Buffalo, NY" }
}

Service-Area Page

{
  "@context": "https://schema.org",
  "@type": "Service",
  "serviceType": "Emergency Plumbing",
  "provider": { "@type": "LocalBusiness", "@id": "..." },
  "areaServed": { "@type": "City", "name": "Orchard Park, NY" }
}

Common Mistakes

• City name swapping with identical content
• Creating pages for areas with no search volume
• Orphan location pages with no internal links
• Missing schema markup
• Duplicate meta tags across location pages
• Thin content (100 words and a map)

Task-Specific Questions

1. Physical locations or service areas (or both)?
2. How many pages needed?
3. What service × location combinations matter most?
4. What unique local content is available per area?
5. Current site structure?

What to Do Next

Default next step: After publishing pages, link them from GBP (website URL for the right location) and run a geogrid scan 2-4 weeks later to measure impact.

Tools for This Skill

See docs/tool-routing to pick based on what's connected.

• Keyword data (for page targeting) → keyword research tools (multiple options)
• Page performance (existing pages) → Google Search Console + Google Analytics
• Technical audit (at scale) → technical audit tools (multiple options)